Presentation Title

Flow Visualization and Drag Measurements of Image-Based Motorcycle Rider Models with Different Riding Positions

Faculty Mentor

April Si

Start Date

23-11-2019 8:00 AM

End Date

23-11-2019 8:45 AM

Location

147

Session

poster 1

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Background: Dramatic changes in drag force can be experienced by a motorcycle rider when changing sitting positions. In this study, we will investigate the changes in drag forces with sitting positions and examine the flow dynamics that cause these changes.

Methods: This study included several sections: model development, PIV flow visualization, smoke visualization in wind tunnel, drag measurement in wind tunnel, and computational fluid dynamic (CFD) simulations. First, anatomically accurate models of a motorcycle rider were developed using AutoDesk ReCap and were fabricated using 3-D printing techniques. Second, the scaled-down 3-D printed models were put in a water tank with micron particles (DANTEC) to visualize the flows passing the model. Third, the same model was put in the wind tunnel and smoke machine was used to generate the streamlines around the rider. Drag forces were also recorded at different sitting positions. Lastly, CFD simulations were conducted using ANSYS Fluent to capture the flow details. Results from different methods were compared.

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Nov 23rd, 8:00 AM Nov 23rd, 8:45 AM

Flow Visualization and Drag Measurements of Image-Based Motorcycle Rider Models with Different Riding Positions

147

Background: Dramatic changes in drag force can be experienced by a motorcycle rider when changing sitting positions. In this study, we will investigate the changes in drag forces with sitting positions and examine the flow dynamics that cause these changes.

Methods: This study included several sections: model development, PIV flow visualization, smoke visualization in wind tunnel, drag measurement in wind tunnel, and computational fluid dynamic (CFD) simulations. First, anatomically accurate models of a motorcycle rider were developed using AutoDesk ReCap and were fabricated using 3-D printing techniques. Second, the scaled-down 3-D printed models were put in a water tank with micron particles (DANTEC) to visualize the flows passing the model. Third, the same model was put in the wind tunnel and smoke machine was used to generate the streamlines around the rider. Drag forces were also recorded at different sitting positions. Lastly, CFD simulations were conducted using ANSYS Fluent to capture the flow details. Results from different methods were compared.